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<title>Compute Library: NEConvolutionRectangleKernel Class Reference</title>
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<a href="#pub-methods">Public Member Functions</a> </div>
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<div class="title">NEConvolutionRectangleKernel Class Reference</div> </div>
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<p><a class="el" href="classarm__compute_1_1_kernel.xhtml" title="Kernel class.">Kernel</a> for the running convolution on a rectangle matrix.
<a href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#details">More...</a></p>
<p><code>#include &lt;<a class="el" href="_n_e_convolution_kernel_8h_source.xhtml">NEConvolutionKernel.h</a>&gt;</code></p>
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Collaboration diagram for NEConvolutionRectangleKernel:</div>
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Public Member Functions</h2></td></tr>
<tr class="memitem:ab5656bb5b6334bdbe6e606c715872828"><td class="memItemLeft" align="right" valign="top">const char *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#ab5656bb5b6334bdbe6e606c715872828">name</a> () const override</td></tr>
<tr class="memdesc:ab5656bb5b6334bdbe6e606c715872828"><td class="mdescLeft">&#160;</td><td class="mdescRight">Name of the kernel. <a href="#ab5656bb5b6334bdbe6e606c715872828">More...</a><br /></td></tr>
<tr class="separator:ab5656bb5b6334bdbe6e606c715872828"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a437bfa972bdb089215368c344cce05d3"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a437bfa972bdb089215368c344cce05d3">NEConvolutionRectangleKernel</a> ()</td></tr>
<tr class="memdesc:a437bfa972bdb089215368c344cce05d3"><td class="mdescLeft">&#160;</td><td class="mdescRight">Default constructor. <a href="#a437bfa972bdb089215368c344cce05d3">More...</a><br /></td></tr>
<tr class="separator:a437bfa972bdb089215368c344cce05d3"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a7f9f7156c38ea608c5cdd440d924540d"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a7f9f7156c38ea608c5cdd440d924540d">NEConvolutionRectangleKernel</a> (<a class="el" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml">NEConvolutionRectangleKernel</a> &amp;)=delete</td></tr>
<tr class="memdesc:a7f9f7156c38ea608c5cdd440d924540d"><td class="mdescLeft">&#160;</td><td class="mdescRight">Prevent instances of this class from being copied (As this class contains pointers) <a href="#a7f9f7156c38ea608c5cdd440d924540d">More...</a><br /></td></tr>
<tr class="separator:a7f9f7156c38ea608c5cdd440d924540d"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a346f0286bbc7dc19e4aa25ae6acd57e8"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml">NEConvolutionRectangleKernel</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a346f0286bbc7dc19e4aa25ae6acd57e8">operator=</a> (<a class="el" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml">NEConvolutionRectangleKernel</a> &amp;)=delete</td></tr>
<tr class="memdesc:a346f0286bbc7dc19e4aa25ae6acd57e8"><td class="mdescLeft">&#160;</td><td class="mdescRight">Prevent instances of this class from being copied (As this class contains pointers) <a href="#a346f0286bbc7dc19e4aa25ae6acd57e8">More...</a><br /></td></tr>
<tr class="separator:a346f0286bbc7dc19e4aa25ae6acd57e8"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a88921c6a68249c84d1a0de6b3bfe5401"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a88921c6a68249c84d1a0de6b3bfe5401">NEConvolutionRectangleKernel</a> (<a class="el" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml">NEConvolutionRectangleKernel</a> &amp;&amp;)=default</td></tr>
<tr class="memdesc:a88921c6a68249c84d1a0de6b3bfe5401"><td class="mdescLeft">&#160;</td><td class="mdescRight">Allow instances of this class to be moved. <a href="#a88921c6a68249c84d1a0de6b3bfe5401">More...</a><br /></td></tr>
<tr class="separator:a88921c6a68249c84d1a0de6b3bfe5401"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a098833ba328ff07d483f4d8af88ee9f8"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml">NEConvolutionRectangleKernel</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a098833ba328ff07d483f4d8af88ee9f8">operator=</a> (<a class="el" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml">NEConvolutionRectangleKernel</a> &amp;&amp;)=default</td></tr>
<tr class="memdesc:a098833ba328ff07d483f4d8af88ee9f8"><td class="mdescLeft">&#160;</td><td class="mdescRight">Allow instances of this class to be moved. <a href="#a098833ba328ff07d483f4d8af88ee9f8">More...</a><br /></td></tr>
<tr class="separator:a098833ba328ff07d483f4d8af88ee9f8"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a3bb75d0640105ec72239550ec8a086b9"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a3bb75d0640105ec72239550ec8a086b9">configure</a> (const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input, <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output, const int16_t *conv, uint32_t width, uint32_t height, uint32_t scale, bool border_undefined)</td></tr>
<tr class="memdesc:a3bb75d0640105ec72239550ec8a086b9"><td class="mdescLeft">&#160;</td><td class="mdescRight">Initialise the kernel's input, output and border mode. <a href="#a3bb75d0640105ec72239550ec8a086b9">More...</a><br /></td></tr>
<tr class="separator:a3bb75d0640105ec72239550ec8a086b9"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a112b35dd205c62ea6ed1447ef226da82"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a112b35dd205c62ea6ed1447ef226da82">run</a> (const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;<a class="el" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>, const <a class="el" href="structarm__compute_1_1_thread_info.xhtml">ThreadInfo</a> &amp;info) override</td></tr>
<tr class="memdesc:a112b35dd205c62ea6ed1447ef226da82"><td class="mdescLeft">&#160;</td><td class="mdescRight">Execute the kernel on the passed window. <a href="#a112b35dd205c62ea6ed1447ef226da82">More...</a><br /></td></tr>
<tr class="separator:a112b35dd205c62ea6ed1447ef226da82"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a423f9a45a52983b4de5e2b347f4369c7"><td class="memItemLeft" align="right" valign="top"><a class="el" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a423f9a45a52983b4de5e2b347f4369c7">border_size</a> () const override</td></tr>
<tr class="memdesc:a423f9a45a52983b4de5e2b347f4369c7"><td class="mdescLeft">&#160;</td><td class="mdescRight">The size of the border for that kernel. <a href="#a423f9a45a52983b4de5e2b347f4369c7">More...</a><br /></td></tr>
<tr class="separator:a423f9a45a52983b4de5e2b347f4369c7"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="inherit_header pub_methods_classarm__compute_1_1_i_c_p_p_kernel"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarm__compute_1_1_i_c_p_p_kernel')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classarm__compute_1_1_i_c_p_p_kernel.xhtml">ICPPKernel</a></td></tr>
<tr class="memitem:a033d17a97e07cea7fe83eefcf23540f6 inherit pub_methods_classarm__compute_1_1_i_c_p_p_kernel"><td class="memItemLeft" align="right" valign="top">virtual&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_p_p_kernel.xhtml#a033d17a97e07cea7fe83eefcf23540f6">~ICPPKernel</a> ()=default</td></tr>
<tr class="memdesc:a033d17a97e07cea7fe83eefcf23540f6 inherit pub_methods_classarm__compute_1_1_i_c_p_p_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Default destructor. <a href="classarm__compute_1_1_i_c_p_p_kernel.xhtml#a033d17a97e07cea7fe83eefcf23540f6">More...</a><br /></td></tr>
<tr class="separator:a033d17a97e07cea7fe83eefcf23540f6 inherit pub_methods_classarm__compute_1_1_i_c_p_p_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="inherit_header pub_methods_classarm__compute_1_1_i_kernel"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarm__compute_1_1_i_kernel')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classarm__compute_1_1_i_kernel.xhtml">IKernel</a></td></tr>
<tr class="memitem:a7250cb8cbaa4104a93a2d77155085507 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a7250cb8cbaa4104a93a2d77155085507">IKernel</a> ()</td></tr>
<tr class="memdesc:a7250cb8cbaa4104a93a2d77155085507 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Constructor. <a href="classarm__compute_1_1_i_kernel.xhtml#a7250cb8cbaa4104a93a2d77155085507">More...</a><br /></td></tr>
<tr class="separator:a7250cb8cbaa4104a93a2d77155085507 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a341b60d15a5e12a5b8f3825194dd3b12 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top">virtual&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a341b60d15a5e12a5b8f3825194dd3b12">~IKernel</a> ()=default</td></tr>
<tr class="memdesc:a341b60d15a5e12a5b8f3825194dd3b12 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Destructor. <a href="classarm__compute_1_1_i_kernel.xhtml#a341b60d15a5e12a5b8f3825194dd3b12">More...</a><br /></td></tr>
<tr class="separator:a341b60d15a5e12a5b8f3825194dd3b12 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a0466ee6ce6552c87595f0e88e73eeb1b inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top">virtual bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a0466ee6ce6552c87595f0e88e73eeb1b">is_parallelisable</a> () const</td></tr>
<tr class="memdesc:a0466ee6ce6552c87595f0e88e73eeb1b inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Indicates whether or not the kernel is parallelisable. <a href="classarm__compute_1_1_i_kernel.xhtml#a0466ee6ce6552c87595f0e88e73eeb1b">More...</a><br /></td></tr>
<tr class="separator:a0466ee6ce6552c87595f0e88e73eeb1b inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ad34a46f53686c12a5c5e717cc9617fb6 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a> () const</td></tr>
<tr class="memdesc:ad34a46f53686c12a5c5e717cc9617fb6 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">The maximum window the kernel can be executed on. <a href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">More...</a><br /></td></tr>
<tr class="separator:ad34a46f53686c12a5c5e717cc9617fb6 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
</table>
<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<div class="textblock"><p><a class="el" href="classarm__compute_1_1_kernel.xhtml" title="Kernel class.">Kernel</a> for the running convolution on a rectangle matrix. </p>
<dl class="section note"><dt>Note</dt><dd>Supports combinations of 3,5,7 and 9. </dd></dl>
<p class="definition">Definition at line <a class="el" href="_n_e_convolution_kernel_8h_source.xhtml#l00212">212</a> of file <a class="el" href="_n_e_convolution_kernel_8h_source.xhtml">NEConvolutionKernel.h</a>.</p>
</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
<a id="a437bfa972bdb089215368c344cce05d3"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a437bfa972bdb089215368c344cce05d3">&#9670;&nbsp;</a></span>NEConvolutionRectangleKernel() <span class="overload">[1/3]</span></h2>
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<td class="memname"><a class="el" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml">NEConvolutionRectangleKernel</a> </td>
<td>(</td>
<td class="paramname"></td><td>)</td>
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<p>Default constructor. </p>
<p class="definition">Definition at line <a class="el" href="_n_e_convolution_kernel_8cpp_source.xhtml#l01417">1417</a> of file <a class="el" href="_n_e_convolution_kernel_8cpp_source.xhtml">NEConvolutionKernel.cpp</a>.</p>
<div class="fragment"><div class="line"><a name="l01418"></a><span class="lineno"> 1418</span>&#160; : _input(<span class="keyword">nullptr</span>), _output(<span class="keyword">nullptr</span>), _scale(0), _convolution(), _border_size(), _func_idx(0)</div><div class="line"><a name="l01419"></a><span class="lineno"> 1419</span>&#160;{</div><div class="line"><a name="l01420"></a><span class="lineno"> 1420</span>&#160;}</div></div><!-- fragment -->
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<h2 class="memtitle"><span class="permalink"><a href="#a7f9f7156c38ea608c5cdd440d924540d">&#9670;&nbsp;</a></span>NEConvolutionRectangleKernel() <span class="overload">[2/3]</span></h2>
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<td class="memname"><a class="el" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml">NEConvolutionRectangleKernel</a> </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml">NEConvolutionRectangleKernel</a> &amp;&#160;</td>
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<span class="mlabels"><span class="mlabel">delete</span></span> </td>
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<p>Prevent instances of this class from being copied (As this class contains pointers) </p>
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<a id="a88921c6a68249c84d1a0de6b3bfe5401"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a88921c6a68249c84d1a0de6b3bfe5401">&#9670;&nbsp;</a></span>NEConvolutionRectangleKernel() <span class="overload">[3/3]</span></h2>
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<td class="memname"><a class="el" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml">NEConvolutionRectangleKernel</a> </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml">NEConvolutionRectangleKernel</a> &amp;&amp;&#160;</td>
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<p>Allow instances of this class to be moved. </p>
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<h2 class="groupheader">Member Function Documentation</h2>
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<h2 class="memtitle"><span class="permalink"><a href="#a423f9a45a52983b4de5e2b347f4369c7">&#9670;&nbsp;</a></span>border_size()</h2>
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<td class="memname"><a class="el" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> border_size </td>
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<p>The size of the border for that kernel. </p>
<dl class="section return"><dt>Returns</dt><dd>The width in number of elements of the border. </dd></dl>
<p>Reimplemented from <a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a4b3a97ba5dded504a2f2261c078493dd">IKernel</a>.</p>
<p class="definition">Definition at line <a class="el" href="_n_e_convolution_kernel_8cpp_source.xhtml#l01422">1422</a> of file <a class="el" href="_n_e_convolution_kernel_8cpp_source.xhtml">NEConvolutionKernel.cpp</a>.</p>
<div class="fragment"><div class="line"><a name="l01423"></a><span class="lineno"> 1423</span>&#160;{</div><div class="line"><a name="l01424"></a><span class="lineno"> 1424</span>&#160; <span class="keywordflow">return</span> _border_size;</div><div class="line"><a name="l01425"></a><span class="lineno"> 1425</span>&#160;}</div></div><!-- fragment -->
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<h2 class="memtitle"><span class="permalink"><a href="#a3bb75d0640105ec72239550ec8a086b9">&#9670;&nbsp;</a></span>configure()</h2>
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<td class="memname">void configure </td>
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<td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *&#160;</td>
<td class="paramname"><em>input</em>, </td>
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<td></td>
<td class="paramtype"><a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *&#160;</td>
<td class="paramname"><em>output</em>, </td>
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<td class="paramtype">const int16_t *&#160;</td>
<td class="paramname"><em>conv</em>, </td>
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<td class="paramtype">uint32_t&#160;</td>
<td class="paramname"><em>width</em>, </td>
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<td class="paramtype">uint32_t&#160;</td>
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<td class="paramtype">uint32_t&#160;</td>
<td class="paramname"><em>scale</em>, </td>
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<td class="paramtype">bool&#160;</td>
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<p>Initialise the kernel's input, output and border mode. </p>
<dl class="params"><dt>Parameters</dt><dd>
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<tr><td class="paramdir">[in]</td><td class="paramname">input</td><td>Source tensor. Data type supported: U8. </td></tr>
<tr><td class="paramdir">[out]</td><td class="paramname">output</td><td>Destination tensor, Data types supported: U8, S16. </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">conv</td><td>Convolution matrix to apply to the input tensor. </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">width</td><td>Width of convolution matrix (Number of columns) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">height</td><td>Height of convolution matrix (Number of rows) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">scale</td><td>Scale of the convolution matrix. If 0 is passed, it will be set to the sum of the coefficients of the convolution or 1 if they add up to 0. </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">border_undefined</td><td>True if the border mode is undefined. False if it's replicate or constant. </td></tr>
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<p class="definition">Definition at line <a class="el" href="_n_e_convolution_kernel_8cpp_source.xhtml#l01427">1427</a> of file <a class="el" href="_n_e_convolution_kernel_8cpp_source.xhtml">NEConvolutionKernel.cpp</a>.</p>
<div class="fragment"><div class="line"><a name="l01428"></a><span class="lineno"> 1428</span>&#160;{</div><div class="line"><a name="l01429"></a><span class="lineno"> 1429</span>&#160; <a class="code" href="_validate_8h.xhtml#a921b705e9e3e0fe928928447869e62a5">ARM_COMPUTE_ERROR_ON_NULLPTR</a>(input, output, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a006546051719c5fb4b20c966a26b9c76">conv</a>);</div><div class="line"><a name="l01430"></a><span class="lineno"> 1430</span>&#160;</div><div class="line"><a name="l01431"></a><span class="lineno"> 1431</span>&#160; <a class="code" href="namespacearm__compute.xhtml#a9d1a839c51134b2ae171a2264c541b6f">set_shape_if_empty</a>(*output-&gt;info(), input-&gt;info()-&gt;tensor_shape());</div><div class="line"><a name="l01432"></a><span class="lineno"> 1432</span>&#160;</div><div class="line"><a name="l01433"></a><span class="lineno"> 1433</span>&#160; <a class="code" href="_validate_8h.xhtml#aafce5e9928fac427dcd29d960bcf2ae3">ARM_COMPUTE_ERROR_ON_MISMATCHING_SHAPES</a>(input, output);</div><div class="line"><a name="l01434"></a><span class="lineno"> 1434</span>&#160; <a class="code" href="_validate_8h.xhtml#aadf5c9cff86327b96d88d04649d9715e">ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN</a>(input, 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">DataType::U8</a>);</div><div class="line"><a name="l01435"></a><span class="lineno"> 1435</span>&#160; <a class="code" href="_validate_8h.xhtml#aadf5c9cff86327b96d88d04649d9715e">ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN</a>(output, 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">DataType::U8</a>, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">DataType::S16</a>);</div><div class="line"><a name="l01436"></a><span class="lineno"> 1436</span>&#160; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(width != 3 &amp;&amp; width != 5 &amp;&amp; width != 7 &amp;&amp; width != 9);</div><div class="line"><a name="l01437"></a><span class="lineno"> 1437</span>&#160; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(height != 3 &amp;&amp; height != 5 &amp;&amp; height != 7 &amp;&amp; height != 9);</div><div class="line"><a name="l01438"></a><span class="lineno"> 1438</span>&#160; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(0 == <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a">scale</a>);</div><div class="line"><a name="l01439"></a><span class="lineno"> 1439</span>&#160;</div><div class="line"><a name="l01440"></a><span class="lineno"> 1440</span>&#160; _input = input;</div><div class="line"><a name="l01441"></a><span class="lineno"> 1441</span>&#160; _output = output;</div><div class="line"><a name="l01442"></a><span class="lineno"> 1442</span>&#160; _scale = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a">scale</a>;</div><div class="line"><a name="l01443"></a><span class="lineno"> 1443</span>&#160; _border_size = BorderSize(height / 2, width / 2);</div><div class="line"><a name="l01444"></a><span class="lineno"> 1444</span>&#160;</div><div class="line"><a name="l01445"></a><span class="lineno"> 1445</span>&#160; <span class="comment">// Setup the convolution matrix</span></div><div class="line"><a name="l01446"></a><span class="lineno"> 1446</span>&#160; <span class="keyword">const</span> uint32_t nr_elements = width * height;</div><div class="line"><a name="l01447"></a><span class="lineno"> 1447</span>&#160; _convolution.resize(nr_elements);</div><div class="line"><a name="l01448"></a><span class="lineno"> 1448</span>&#160; std::copy_n(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a006546051719c5fb4b20c966a26b9c76">conv</a>, nr_elements, _convolution.begin());</div><div class="line"><a name="l01449"></a><span class="lineno"> 1449</span>&#160;</div><div class="line"><a name="l01450"></a><span class="lineno"> 1450</span>&#160; <span class="comment">// Set function index to help choose appropriate function in run()</span></div><div class="line"><a name="l01451"></a><span class="lineno"> 1451</span>&#160; _func_idx = get_index(height) * 4 + get_index(width);</div><div class="line"><a name="l01452"></a><span class="lineno"> 1452</span>&#160; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(_func_idx &gt; (_nr_supported_sizes * _nr_supported_sizes));</div><div class="line"><a name="l01453"></a><span class="lineno"> 1453</span>&#160;</div><div class="line"><a name="l01454"></a><span class="lineno"> 1454</span>&#160; <span class="comment">// Configure kernel window</span></div><div class="line"><a name="l01455"></a><span class="lineno"> 1455</span>&#160; constexpr <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> num_elems_processed_per_iteration = 8;</div><div class="line"><a name="l01456"></a><span class="lineno"> 1456</span>&#160; constexpr <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> num_elems_read_per_iteration = 16;</div><div class="line"><a name="l01457"></a><span class="lineno"> 1457</span>&#160; constexpr <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> num_elems_written_per_iteration = 8;</div><div class="line"><a name="l01458"></a><span class="lineno"> 1458</span>&#160;</div><div class="line"><a name="l01459"></a><span class="lineno"> 1459</span>&#160; Window win = <a class="code" href="namespacearm__compute.xhtml#ab7980fa5ee693e3282a76da047a1c3b5">calculate_max_window</a>(*input-&gt;info(), Steps(num_elems_processed_per_iteration), border_undefined, _border_size);</div><div class="line"><a name="l01460"></a><span class="lineno"> 1460</span>&#160; AccessWindowHorizontal output_access(output-&gt;info(), 0, num_elems_written_per_iteration);</div><div class="line"><a name="l01461"></a><span class="lineno"> 1461</span>&#160;</div><div class="line"><a name="l01462"></a><span class="lineno"> 1462</span>&#160; <a class="code" href="namespacearm__compute.xhtml#afc4bd8e872567d9c4c57d89eb0bb3da1">update_window_and_padding</a>(win,</div><div class="line"><a name="l01463"></a><span class="lineno"> 1463</span>&#160; AccessWindowRectangle(input-&gt;info(), -_border_size.<a class="code" href="structarm__compute_1_1_border_size.xhtml#a05374b750b0fc472c34ee61e6f028bba">left</a>, -_border_size.<a class="code" href="structarm__compute_1_1_border_size.xhtml#a3fdd42ea34070a54e696b3adc28c4be3">top</a>, num_elems_read_per_iteration, height),</div><div class="line"><a name="l01464"></a><span class="lineno"> 1464</span>&#160; output_access);</div><div class="line"><a name="l01465"></a><span class="lineno"> 1465</span>&#160;</div><div class="line"><a name="l01466"></a><span class="lineno"> 1466</span>&#160; output_access.set_valid_region(win, input-&gt;info()-&gt;valid_region(), border_undefined, _border_size);</div><div class="line"><a name="l01467"></a><span class="lineno"> 1467</span>&#160;</div><div class="line"><a name="l01468"></a><span class="lineno"> 1468</span>&#160; INEKernel::configure(win);</div><div class="line"><a name="l01469"></a><span class="lineno"> 1469</span>&#160;}</div><div class="ttc" id="structarm__compute_1_1_border_size_xhtml_a3fdd42ea34070a54e696b3adc28c4be3"><div class="ttname"><a href="structarm__compute_1_1_border_size.xhtml#a3fdd42ea34070a54e696b3adc28c4be3">arm_compute::BorderSize::top</a></div><div class="ttdeci">unsigned int top</div><div class="ttdoc">top of the border</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00339">Types.h:339</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">arm_compute::Format::U8</a></div><div class="ttdoc">1 channel, 1 U8 per channel</div></div>
<div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00337">Error.h:337</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab7980fa5ee693e3282a76da047a1c3b5"><div class="ttname"><a href="namespacearm__compute.xhtml#ab7980fa5ee693e3282a76da047a1c3b5">arm_compute::calculate_max_window</a></div><div class="ttdeci">Window calculate_max_window(const ValidRegion &amp;valid_region, const Steps &amp;steps=Steps(), bool skip_border=false, BorderSize border_size=BorderSize())</div><div class="ttdoc">Calculate the maximum window for a given tensor shape and border setting.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_helpers_8cpp_source.xhtml#l00028">Helpers.cpp:28</a></div></div>
<div class="ttc" id="_validate_8h_xhtml_aafce5e9928fac427dcd29d960bcf2ae3"><div class="ttname"><a href="_validate_8h.xhtml#aafce5e9928fac427dcd29d960bcf2ae3">ARM_COMPUTE_ERROR_ON_MISMATCHING_SHAPES</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_MISMATCHING_SHAPES(...)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00441">Validate.h:441</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a006546051719c5fb4b20c966a26b9c76"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a006546051719c5fb4b20c966a26b9c76">arm_compute::test::validation::conv</a></div><div class="ttdeci">std::array&lt; int16_t, 25 &gt; conv</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_convolution_8cpp_source.xhtml#l00125">Convolution.cpp:125</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_afc4bd8e872567d9c4c57d89eb0bb3da1"><div class="ttname"><a href="namespacearm__compute.xhtml#afc4bd8e872567d9c4c57d89eb0bb3da1">arm_compute::update_window_and_padding</a></div><div class="ttdeci">bool update_window_and_padding(Window &amp;win, Ts &amp;&amp;... patterns)</div><div class="ttdoc">Update window and padding size for each of the access patterns.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_helpers_8h_source.xhtml#l00402">Helpers.h:402</a></div></div>
<div class="ttc" id="structarm__compute_1_1_border_size_xhtml_a05374b750b0fc472c34ee61e6f028bba"><div class="ttname"><a href="structarm__compute_1_1_border_size.xhtml#a05374b750b0fc472c34ee61e6f028bba">arm_compute::BorderSize::left</a></div><div class="ttdeci">unsigned int left</div><div class="ttdoc">left of the border</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00342">Types.h:342</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">arm_compute::Format::S16</a></div><div class="ttdoc">1 channel, 1 S16 per channel</div></div>
<div class="ttc" id="_validate_8h_xhtml_aadf5c9cff86327b96d88d04649d9715e"><div class="ttname"><a href="_validate_8h.xhtml#aadf5c9cff86327b96d88d04649d9715e">ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(t, c,...)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00789">Validate.h:789</a></div></div>
<div class="ttc" id="_validate_8h_xhtml_a921b705e9e3e0fe928928447869e62a5"><div class="ttname"><a href="_validate_8h.xhtml#a921b705e9e3e0fe928928447869e62a5">ARM_COMPUTE_ERROR_ON_NULLPTR</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_NULLPTR(...)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00161">Validate.h:161</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_acec6d8ad52a28972fa74e071c1a63b6a"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#acec6d8ad52a28972fa74e071c1a63b6a">arm_compute::test::validation::scale</a></div><div class="ttdeci">scale</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_o_n_2_pixel_wise_multiplication_8cpp_source.xhtml#l00317">PixelWiseMultiplication.cpp:317</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a9d1a839c51134b2ae171a2264c541b6f"><div class="ttname"><a href="namespacearm__compute.xhtml#a9d1a839c51134b2ae171a2264c541b6f">arm_compute::set_shape_if_empty</a></div><div class="ttdeci">bool set_shape_if_empty(ITensorInfo &amp;info, const TensorShape &amp;shape)</div><div class="ttdoc">Set the shape to the specified value if the current assignment is empty.</div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8inl_source.xhtml#l00234">Helpers.inl:234</a></div></div>
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<p class="reference">References <a class="el" href="_error_8h_source.xhtml#l00337">ARM_COMPUTE_ERROR_ON</a>, <a class="el" href="_validate_8h_source.xhtml#l00789">ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN</a>, <a class="el" href="_validate_8h_source.xhtml#l00441">ARM_COMPUTE_ERROR_ON_MISMATCHING_SHAPES</a>, <a class="el" href="_validate_8h_source.xhtml#l00161">ARM_COMPUTE_ERROR_ON_NULLPTR</a>, <a class="el" href="src_2core_2_helpers_8cpp_source.xhtml#l00028">arm_compute::calculate_max_window()</a>, <a class="el" href="validation_2_c_l_2_convolution_8cpp_source.xhtml#l00125">arm_compute::test::validation::conv</a>, <a class="el" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">ITensor::info()</a>, <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l00342">BorderSize::left</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">arm_compute::S16</a>, <a class="el" href="_n_e_o_n_2_pixel_wise_multiplication_8cpp_source.xhtml#l00317">arm_compute::test::validation::scale</a>, <a class="el" href="_helpers_8inl_source.xhtml#l00234">arm_compute::set_shape_if_empty()</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">ITensorInfo::tensor_shape()</a>, <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l00339">BorderSize::top</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">arm_compute::U8</a>, <a class="el" href="arm__compute_2core_2_helpers_8h_source.xhtml#l00402">arm_compute::update_window_and_padding()</a>, and <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a74dfd07380a290c34fe7c8e065029b95">ITensorInfo::valid_region()</a>.</p>
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<h2 class="memtitle"><span class="permalink"><a href="#ab5656bb5b6334bdbe6e606c715872828">&#9670;&nbsp;</a></span>name()</h2>
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<td class="memname">const char* name </td>
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<p>Name of the kernel. </p>
<dl class="section return"><dt>Returns</dt><dd><a class="el" href="classarm__compute_1_1_kernel.xhtml" title="Kernel class.">Kernel</a> name </dd></dl>
<p>Implements <a class="el" href="classarm__compute_1_1_i_c_p_p_kernel.xhtml#a1a30ad8f276a2310571c36239554831a">ICPPKernel</a>.</p>
<p class="definition">Definition at line <a class="el" href="_n_e_convolution_kernel_8h_source.xhtml#l00215">215</a> of file <a class="el" href="_n_e_convolution_kernel_8h_source.xhtml">NEConvolutionKernel.h</a>.</p>
<div class="fragment"><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>&#160; {</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>&#160; <span class="keywordflow">return</span> <span class="stringliteral">&quot;NEConvolutionRectangleKernel&quot;</span>;</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>&#160; }</div></div><!-- fragment -->
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<h2 class="memtitle"><span class="permalink"><a href="#a346f0286bbc7dc19e4aa25ae6acd57e8">&#9670;&nbsp;</a></span>operator=() <span class="overload">[1/2]</span></h2>
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<td class="memname"><a class="el" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml">NEConvolutionRectangleKernel</a>&amp; operator= </td>
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<td class="paramtype"><a class="el" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml">NEConvolutionRectangleKernel</a> &amp;&#160;</td>
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<p>Prevent instances of this class from being copied (As this class contains pointers) </p>
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<h2 class="memtitle"><span class="permalink"><a href="#a098833ba328ff07d483f4d8af88ee9f8">&#9670;&nbsp;</a></span>operator=() <span class="overload">[2/2]</span></h2>
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<td class="memname"><a class="el" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml">NEConvolutionRectangleKernel</a>&amp; operator= </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml">NEConvolutionRectangleKernel</a> &amp;&amp;&#160;</td>
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<p>Allow instances of this class to be moved. </p>
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<h2 class="memtitle"><span class="permalink"><a href="#a112b35dd205c62ea6ed1447ef226da82">&#9670;&nbsp;</a></span>run()</h2>
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<td class="memname">void run </td>
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<td class="paramtype">const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;&#160;</td>
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<td class="paramtype">const <a class="el" href="structarm__compute_1_1_thread_info.xhtml">ThreadInfo</a> &amp;&#160;</td>
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<p>Execute the kernel on the passed window. </p>
<dl class="section warning"><dt>Warning</dt><dd>If <a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a0466ee6ce6552c87595f0e88e73eeb1b" title="Indicates whether or not the kernel is parallelisable.">is_parallelisable()</a> returns false then the passed window must be equal to <a class="el" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6" title="The maximum window the kernel can be executed on.">window()</a></dd></dl>
<dl class="section note"><dt>Note</dt><dd>The window has to be a region within the window returned by the <a class="el" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6" title="The maximum window the kernel can be executed on.">window()</a> method</dd>
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The width of the window has to be a multiple of num_elems_processed_per_iteration().</dd></dl>
<dl class="params"><dt>Parameters</dt><dd>
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<tr><td class="paramdir">[in]</td><td class="paramname">window</td><td>Region on which to execute the kernel. (Must be a region of the window returned by <a class="el" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6" title="The maximum window the kernel can be executed on.">window()</a>) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">info</td><td>Info about executing thread and CPU. </td></tr>
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<p>Implements <a class="el" href="classarm__compute_1_1_i_c_p_p_kernel.xhtml#af814ff5e96f40f1cccf809b2b4ee19ef">ICPPKernel</a>.</p>
<p class="definition">Definition at line <a class="el" href="_n_e_convolution_kernel_8cpp_source.xhtml#l01471">1471</a> of file <a class="el" href="_n_e_convolution_kernel_8cpp_source.xhtml">NEConvolutionKernel.cpp</a>.</p>
<div class="fragment"><div class="line"><a name="l01472"></a><span class="lineno"> 1472</span>&#160;{</div><div class="line"><a name="l01473"></a><span class="lineno"> 1473</span>&#160; <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">info</a>);</div><div class="line"><a name="l01474"></a><span class="lineno"> 1474</span>&#160; <a class="code" href="_validate_8h.xhtml#a1b35b0d258183cf9ef36adf684d0b88c">ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL</a>(<span class="keyword">this</span>);</div><div class="line"><a name="l01475"></a><span class="lineno"> 1475</span>&#160; <a class="code" href="_validate_8h.xhtml#a6eb9ce82815fe429250189da7592ba75">ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW</a>(<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">INEKernel::window</a>(), <a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>);</div><div class="line"><a name="l01476"></a><span class="lineno"> 1476</span>&#160;</div><div class="line"><a name="l01477"></a><span class="lineno"> 1477</span>&#160; <span class="keyword">using</span> ConvolutionRectangleFunction = void (<a class="code" href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a437bfa972bdb089215368c344cce05d3">NEConvolutionRectangleKernel</a>::*)(<span class="keyword">const</span> Window &amp; <a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>);</div><div class="line"><a name="l01478"></a><span class="lineno"> 1478</span>&#160;</div><div class="line"><a name="l01479"></a><span class="lineno"> 1479</span>&#160; <span class="comment">// uint8_t function table</span></div><div class="line"><a name="l01480"></a><span class="lineno"> 1480</span>&#160; <span class="keyword">static</span> <span class="keyword">const</span> std::array&lt;ConvolutionRectangleFunction, 16&gt; func_table_u8 =</div><div class="line"><a name="l01481"></a><span class="lineno"> 1481</span>&#160; {</div><div class="line"><a name="l01482"></a><span class="lineno"> 1482</span>&#160; {</div><div class="line"><a name="l01483"></a><span class="lineno"> 1483</span>&#160; &amp;NEConvolutionRectangleKernel::convolution&lt;uint8_t, 3, 3&gt;,</div><div class="line"><a name="l01484"></a><span class="lineno"> 1484</span>&#160; &amp;NEConvolutionRectangleKernel::convolution&lt;uint8_t, 3, 5&gt;,</div><div class="line"><a name="l01485"></a><span class="lineno"> 1485</span>&#160; &amp;NEConvolutionRectangleKernel::convolution&lt;uint8_t, 3, 7&gt;,</div><div class="line"><a name="l01486"></a><span class="lineno"> 1486</span>&#160; &amp;NEConvolutionRectangleKernel::convolution&lt;uint8_t, 3, 9&gt;,</div><div class="line"><a name="l01487"></a><span class="lineno"> 1487</span>&#160; &amp;NEConvolutionRectangleKernel::convolution&lt;uint8_t, 5, 3&gt;,</div><div class="line"><a name="l01488"></a><span class="lineno"> 1488</span>&#160; &amp;NEConvolutionRectangleKernel::convolution&lt;uint8_t, 5, 5&gt;,</div><div class="line"><a name="l01489"></a><span class="lineno"> 1489</span>&#160; &amp;NEConvolutionRectangleKernel::convolution&lt;uint8_t, 5, 7&gt;,</div><div class="line"><a name="l01490"></a><span class="lineno"> 1490</span>&#160; &amp;NEConvolutionRectangleKernel::convolution&lt;uint8_t, 5, 9&gt;,</div><div class="line"><a name="l01491"></a><span class="lineno"> 1491</span>&#160; &amp;NEConvolutionRectangleKernel::convolution&lt;uint8_t, 7, 3&gt;,</div><div class="line"><a name="l01492"></a><span class="lineno"> 1492</span>&#160; &amp;NEConvolutionRectangleKernel::convolution&lt;uint8_t, 7, 5&gt;,</div><div class="line"><a name="l01493"></a><span class="lineno"> 1493</span>&#160; &amp;NEConvolutionRectangleKernel::convolution&lt;uint8_t, 7, 7&gt;,</div><div class="line"><a name="l01494"></a><span class="lineno"> 1494</span>&#160; &amp;NEConvolutionRectangleKernel::convolution&lt;uint8_t, 7, 9&gt;,</div><div class="line"><a name="l01495"></a><span class="lineno"> 1495</span>&#160; &amp;NEConvolutionRectangleKernel::convolution&lt;uint8_t, 9, 3&gt;,</div><div class="line"><a name="l01496"></a><span class="lineno"> 1496</span>&#160; &amp;NEConvolutionRectangleKernel::convolution&lt;uint8_t, 9, 5&gt;,</div><div class="line"><a name="l01497"></a><span class="lineno"> 1497</span>&#160; &amp;NEConvolutionRectangleKernel::convolution&lt;uint8_t, 9, 7&gt;,</div><div class="line"><a name="l01498"></a><span class="lineno"> 1498</span>&#160; &amp;NEConvolutionRectangleKernel::convolution&lt;uint8_t, 9, 9&gt;</div><div class="line"><a name="l01499"></a><span class="lineno"> 1499</span>&#160; }</div><div class="line"><a name="l01500"></a><span class="lineno"> 1500</span>&#160; };</div><div class="line"><a name="l01501"></a><span class="lineno"> 1501</span>&#160; <span class="comment">// int16_t function table</span></div><div class="line"><a name="l01502"></a><span class="lineno"> 1502</span>&#160; <span class="keyword">static</span> <span class="keyword">const</span> std::array&lt;ConvolutionRectangleFunction, 16&gt; func_table_s16 =</div><div class="line"><a name="l01503"></a><span class="lineno"> 1503</span>&#160; {</div><div class="line"><a name="l01504"></a><span class="lineno"> 1504</span>&#160; {</div><div class="line"><a name="l01505"></a><span class="lineno"> 1505</span>&#160; &amp;NEConvolutionRectangleKernel::convolution&lt;int16_t, 3, 3&gt;,</div><div class="line"><a name="l01506"></a><span class="lineno"> 1506</span>&#160; &amp;NEConvolutionRectangleKernel::convolution&lt;int16_t, 3, 5&gt;,</div><div class="line"><a name="l01507"></a><span class="lineno"> 1507</span>&#160; &amp;NEConvolutionRectangleKernel::convolution&lt;int16_t, 3, 7&gt;,</div><div class="line"><a name="l01508"></a><span class="lineno"> 1508</span>&#160; &amp;NEConvolutionRectangleKernel::convolution&lt;int16_t, 3, 9&gt;,</div><div class="line"><a name="l01509"></a><span class="lineno"> 1509</span>&#160; &amp;NEConvolutionRectangleKernel::convolution&lt;int16_t, 5, 3&gt;,</div><div class="line"><a name="l01510"></a><span class="lineno"> 1510</span>&#160; &amp;NEConvolutionRectangleKernel::convolution&lt;int16_t, 5, 5&gt;,</div><div class="line"><a name="l01511"></a><span class="lineno"> 1511</span>&#160; &amp;NEConvolutionRectangleKernel::convolution&lt;int16_t, 5, 7&gt;,</div><div class="line"><a name="l01512"></a><span class="lineno"> 1512</span>&#160; &amp;NEConvolutionRectangleKernel::convolution&lt;int16_t, 5, 9&gt;,</div><div class="line"><a name="l01513"></a><span class="lineno"> 1513</span>&#160; &amp;NEConvolutionRectangleKernel::convolution&lt;int16_t, 7, 3&gt;,</div><div class="line"><a name="l01514"></a><span class="lineno"> 1514</span>&#160; &amp;NEConvolutionRectangleKernel::convolution&lt;int16_t, 7, 5&gt;,</div><div class="line"><a name="l01515"></a><span class="lineno"> 1515</span>&#160; &amp;NEConvolutionRectangleKernel::convolution&lt;int16_t, 7, 7&gt;,</div><div class="line"><a name="l01516"></a><span class="lineno"> 1516</span>&#160; &amp;NEConvolutionRectangleKernel::convolution&lt;int16_t, 7, 9&gt;,</div><div class="line"><a name="l01517"></a><span class="lineno"> 1517</span>&#160; &amp;NEConvolutionRectangleKernel::convolution&lt;int16_t, 9, 3&gt;,</div><div class="line"><a name="l01518"></a><span class="lineno"> 1518</span>&#160; &amp;NEConvolutionRectangleKernel::convolution&lt;int16_t, 9, 5&gt;,</div><div class="line"><a name="l01519"></a><span class="lineno"> 1519</span>&#160; &amp;NEConvolutionRectangleKernel::convolution&lt;int16_t, 9, 7&gt;,</div><div class="line"><a name="l01520"></a><span class="lineno"> 1520</span>&#160; &amp;NEConvolutionRectangleKernel::convolution&lt;int16_t, 9, 9&gt;</div><div class="line"><a name="l01521"></a><span class="lineno"> 1521</span>&#160; }</div><div class="line"><a name="l01522"></a><span class="lineno"> 1522</span>&#160; };</div><div class="line"><a name="l01523"></a><span class="lineno"> 1523</span>&#160;</div><div class="line"><a name="l01524"></a><span class="lineno"> 1524</span>&#160; <span class="comment">// Run appropriate function</span></div><div class="line"><a name="l01525"></a><span class="lineno"> 1525</span>&#160; <span class="keywordflow">switch</span>(_output-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">data_type</a>())</div><div class="line"><a name="l01526"></a><span class="lineno"> 1526</span>&#160; {</div><div class="line"><a name="l01527"></a><span class="lineno"> 1527</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">DataType::U8</a>:</div><div class="line"><a name="l01528"></a><span class="lineno"> 1528</span>&#160; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(_func_idx &gt;= func_table_u8.size());</div><div class="line"><a name="l01529"></a><span class="lineno"> 1529</span>&#160; (this-&gt;*func_table_u8[_func_idx])(<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>);</div><div class="line"><a name="l01530"></a><span class="lineno"> 1530</span>&#160; <span class="keywordflow">break</span>;</div><div class="line"><a name="l01531"></a><span class="lineno"> 1531</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">DataType::S16</a>:</div><div class="line"><a name="l01532"></a><span class="lineno"> 1532</span>&#160; <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(_func_idx &gt;= func_table_s16.size());</div><div class="line"><a name="l01533"></a><span class="lineno"> 1533</span>&#160; (this-&gt;*func_table_s16[_func_idx])(<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>);</div><div class="line"><a name="l01534"></a><span class="lineno"> 1534</span>&#160; <span class="keywordflow">break</span>;</div><div class="line"><a name="l01535"></a><span class="lineno"> 1535</span>&#160; <span class="keywordflow">default</span>:</div><div class="line"><a name="l01536"></a><span class="lineno"> 1536</span>&#160; <a class="code" href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">&quot;Not supported&quot;</span>);</div><div class="line"><a name="l01537"></a><span class="lineno"> 1537</span>&#160; }</div><div class="line"><a name="l01538"></a><span class="lineno"> 1538</span>&#160;}</div><div class="ttc" id="_error_8h_xhtml_a05b19c75afe9c24200a62b9724734bbd"><div class="ttname"><a href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR(...)</div><div class="ttdoc">Print the given message then throw an std::runtime_error.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00261">Error.h:261</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_kernel_xhtml_ad34a46f53686c12a5c5e717cc9617fb6"><div class="ttname"><a href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">arm_compute::IKernel::window</a></div><div class="ttdeci">const Window &amp; window() const</div><div class="ttdoc">The maximum window the kernel can be executed on.</div><div class="ttdef"><b>Definition:</b> <a href="_i_kernel_8cpp_source.xhtml#l00028">IKernel.cpp:28</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">arm_compute::Format::U8</a></div><div class="ttdoc">1 channel, 1 U8 per channel</div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a7cfb31af63202568efef5214acfbf3ba"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">arm_compute::ITensorInfo::data_type</a></div><div class="ttdeci">virtual DataType data_type() const =0</div><div class="ttdoc">Data type used for each element of the tensor.</div></div>
<div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00337">Error.h:337</a></div></div>
<div class="ttc" id="classarm__compute_1_1_n_e_convolution_rectangle_kernel_xhtml_a437bfa972bdb089215368c344cce05d3"><div class="ttname"><a href="classarm__compute_1_1_n_e_convolution_rectangle_kernel.xhtml#a437bfa972bdb089215368c344cce05d3">arm_compute::NEConvolutionRectangleKernel::NEConvolutionRectangleKernel</a></div><div class="ttdeci">NEConvolutionRectangleKernel()</div><div class="ttdoc">Default constructor.</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_convolution_kernel_8cpp_source.xhtml#l01417">NEConvolutionKernel.cpp:1417</a></div></div>
<div class="ttc" id="_error_8h_xhtml_a6dc630a6ae9cc063b3924bcea8dee9d6"><div class="ttname"><a href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a></div><div class="ttdeci">#define ARM_COMPUTE_UNUSED(...)</div><div class="ttdoc">To avoid unused variables warnings.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00160">Error.h:160</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_xhtml_a0e95dc1e53c361348314873b168ae237"><div class="ttname"><a href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">arm_compute::ITensor::info</a></div><div class="ttdeci">virtual ITensorInfo * info() const =0</div><div class="ttdoc">Interface to be implemented by the child class to return the tensor's metadata.</div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">arm_compute::Format::S16</a></div><div class="ttdoc">1 channel, 1 S16 per channel</div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a4f4125dba5283887b34f889b1c615c0c"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">arm_compute::test::validation::info</a></div><div class="ttdeci">info</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00174">ConvolutionLayer.cpp:174</a></div></div>
<div class="ttc" id="_validate_8h_xhtml_a6eb9ce82815fe429250189da7592ba75"><div class="ttname"><a href="_validate_8h.xhtml#a6eb9ce82815fe429250189da7592ba75">ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(f, s)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00205">Validate.h:205</a></div></div>
<div class="ttc" id="_validate_8h_xhtml_a1b35b0d258183cf9ef36adf684d0b88c"><div class="ttname"><a href="_validate_8h.xhtml#a1b35b0d258183cf9ef36adf684d0b88c">ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(k)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00940">Validate.h:940</a></div></div>
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<p class="reference">References <a class="el" href="_error_8h_source.xhtml#l00261">ARM_COMPUTE_ERROR</a>, <a class="el" href="_error_8h_source.xhtml#l00337">ARM_COMPUTE_ERROR_ON</a>, <a class="el" href="_validate_8h_source.xhtml#l00205">ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW</a>, <a class="el" href="_validate_8h_source.xhtml#l00940">ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL</a>, <a class="el" href="_error_8h_source.xhtml#l00160">ARM_COMPUTE_UNUSED</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">ITensorInfo::data_type()</a>, <a class="el" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">ITensor::info()</a>, <a class="el" href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00174">arm_compute::test::validation::info</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">arm_compute::S16</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">arm_compute::U8</a>, and <a class="el" href="_i_kernel_8cpp_source.xhtml#l00028">IKernel::window()</a>.</p>
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<hr/>The documentation for this class was generated from the following files:<ul>
<li>arm_compute/core/NEON/kernels/<a class="el" href="_n_e_convolution_kernel_8h_source.xhtml">NEConvolutionKernel.h</a></li>
<li>src/core/NEON/kernels/<a class="el" href="_n_e_convolution_kernel_8cpp_source.xhtml">NEConvolutionKernel.cpp</a></li>
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